Having a strong personal brand is one of the best things you can do to stand out from your competition in today’s difficult job market.
In this episode, you’ll learn why brand building should be at the top of your list, and more importantly hear actionable tips that you can use to make progress right away.
We’ll be sharing some of the best strategies, actionable advice, and personal anecdotes from two of the best personal brand builders in data, Kate Strachnyi and Kristen Kehrer.
You’ll leave with a concrete path to building your brand and accelerating your career, starting today.
What You'll Learn
1) Why personal brands matter more than ever in 2024
2) What a strong personal brand looks like
3) How to start building your personal brand online
If you liked this, check out our upcoming Mavens of Data live shows:
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About our guests:
⭐ Kate Strachnyi ⭐
As the founder of DATAcated, Kate Strachnyi helps companies amplify their brand and expertise in artificial intelligence, machine learning, and data science. Kate is a content creator with over 200k followers across LinkedIn, YouTube, Instagram, and other platforms. She also runs a DATAcated Plus program with 25+ influencers that can be hired to 'make a spash' on social media.
As a marketing and branding expert, Kate has been recognized as a LinkedIn Top Voice in Data Science and Analytics for 2018 and 2019, and as a DataIQ USA100 for 2022. Kate is also the author of ColorWise: A Data Storyteller's Guide to the Intentional Use of Color.
https://www.datacated.com/brandbuilder
⭐ Kristen Kehrer ⭐
Kristen Kehrer has been providing innovative & practical statistical modeling solutions in the utilities, healthcare, and eCommerce sectors since 2010.
Alongside her professional accomplishments, she achieved recognition as a LinkedIn Top Voice in Data Science & Analytics in 2018. Kristen is also the founder of Data Moves Me, LLC, and has previously served as a faculty member and subject matter expert at the Emeritus Institute of Management and UC Berkeley Ext.
Kristen lights up on stage and has spoken at conferences like ODSC, DataScienceGO, BI+Analytics Conference, Boye Conference, and Big Data LDN, etc.
She holds a Master of Science degree in Applied Statistics from Worcester Polytechnic Institute and a Bachelor of Science degree in Mathematics.
https://www.datamovesme.com/